CN110492482A - It is a kind of for delaying the energy storage economic load dispatching method of controller switching equipment upgrading - Google Patents
It is a kind of for delaying the energy storage economic load dispatching method of controller switching equipment upgrading Download PDFInfo
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Abstract
The present invention is a kind of for delaying the energy storage economic load dispatching method of controller switching equipment upgrading, comprising: establish energy storage economical operation mathematical model, establish network constraint and energy-storage system power Constraint, energy storage economic dispatch control strategy design, establish evaluation index and storage energy operation effect analysis.By the various load conditions in comprehensive analysis power distribution network, determining energy storage manner of execution and method are corresponded to this.The present invention to the peak load shifting of power distribution network, delay controller switching equipment upgrading to have remarkable result, cope with different load situation, targetedly take energy storage manner of execution, energy saving economy simultaneously, can solve prevents transformer overload and the failures such as power is sent, the safe and stable operation of guarantee power distribution network and energy-storage system.It is reasonable with methodological science, the advantages that strong applicability, effect is good.
Description
Technical field
The invention belongs to distributed energy storage fields more particularly to a kind of energy storage for delaying controller switching equipment upgrading to pass through
Help dispatching method, reduces the method for distribution network load peak-valley difference using distributed energy storage specifically to meet controller switching equipment upgrading and change
Make demand.
Background technique
As increasingly exhaustion, the electricity needs of fossil energy become increasingly conspicuous with environmental problem.Electric car EV (Electric
Vehicles, EV), distributed generation resource (Distributed Generations, DG) rely on its low energy consumption, free of contamination advantage
Obtain significant progress.The charging behavior of extensive EV is lifted load peak substantially, and conventional electrical distribution network planning, which is drawn, does not consider EV
The transformer capacity of the charge requirement accessed on a large scale, existing configuration is limited, the phenomenon that transformer overload easily occurs.For change
Depressor overload problem, traditional measure are to carry out capacity-increasing transformation to controller switching equipment, but there are newly added equipment utilization rates, investment return
The low problem of rate.Power distribution network can be effectively relieved because of EV access bring power supply pressure in DG, but due to its intermittence, when its power output
When excessive, in fact it could happen that the case where power is sent to higher level's power grid, the power sent make power distribution network locally generate overvoltage, accordingly
Transmission power loss will also be substantially improved, higher level's power grid relay equipment also needs to make biggish adjustment.In order to reduce DG to electricity
The adverse effect of net, traditional measures are to cut down DG power output, but therefore reduce DG utilization rate, and then the investment for reducing DG is received
Benefit.It is practical ways using distributed energy storage to solve the problems, such as that transformer overload and the power of power distribution network are sent.Cause
This, the economic load dispatching method for how reasonably designing energy-storage system, which becomes, to be solved power distribution network transformer overload and power and send and ask
Inscribe, delay the key of controller switching equipment upgrading.
Summary of the invention
For above-mentioned problems of the prior art, the present invention provides a kind of scientific and reasonable, strong applicability, and effect is good
For delaying the energy storage economic load dispatching method of controller switching equipment upgrading, the purpose is to be realized by energy storage to electricity peak load shifting
Reduce power distribution network peak-valley difference, alleviates transformer overload, and power distribution network can be reduced and sent to the power of major network.Comprehensive point of this method
Analysed the various load conditions in power distribution network, determining energy storage manner of execution and method corresponded to this, to power distribution network peak load shifting into
Row control comprehensively.
To solve above-mentioned problems of the prior art, the technical solution used in the present invention is: a kind of for delaying
The energy storage economic load dispatching method of controller switching equipment upgrading, characterized in that it includes establishing energy storage economical operation mathematical model, comprehensive
Conjunction considers that establishing network structure, energy-storage system power and electricity establishes constraint condition, designs energy storage economic dispatch control strategy, and
Establishing techniques and economic indicator, assess scheduling strategy.Specific step has:
1) energy storage economical operation mathematical model is established
The target of optimization is to realize that energy storage day operation benefit reaches on the basis of transformer nonoverload, energy storage safe operation
To optimal, objectives function are as follows:
MaxF=FLOSS+FA (1)
In formula, F is energy storage day operation benefit；FLOSSIt is accessed after power distribution network for energy storage and in a few days reduces cost of losses bring receipts
Benefit；FAFor the peak load shifting arbitrage income of energy storage in a few days, each component calculation formula are as follows:
1. arbitrage income FT
Define the difference for the purchases strategies that arbitrage income is sale of electricity income and charging payment that energy storage electric discharge obtains
FT=Fsale-Fbuy (2)
In formula, FsaleElectric energy bring sale of electricity income is discharged during load peak for energy storage；The practical purchases strategies of energy storage
FbuyFor from the expense of higher level's power grid power purchase, Pess,l,cIt (t) is charge power value of first of energy storage in t moment, Pess,l,dis(t)
It is first of energy storage in the discharge power value of t moment, charging is negative, and electric discharge is positive；N is energy storage total quantity；
2. network loss income FLOSS
Defining network loss income is system losses expense F before energy storage accessesLOSS1With cost of losses F after accessLOSS2Difference
FLOSS=FLOSS1-FLOSS2 (5)
In formula, M (t) is tou power price of the t moment from major network power purchase；Ploss,n(t) nth branch is in t before energy storage accesses
The active line loss at quarter, Ploss-ESS,n(t) active line loss of the nth branch in t moment after being accessed for energy storage；NLFor power distribution network branch
Sum；
2) network constraint, energy-storage system power and Constraint are established
1. network constraint:
(a) power flow equation constrains
In formula, Pi(t) active power of node i, Q are injected for t momenti(t) reactive power of node i is injected for t moment；
UiIt (t) is t moment node i voltage magnitude, UjIt (t) is t moment node j voltage magnitude；GijFor the i-th row j in node admittance matrix
The real part of column element, BijFor the imaginary part of the i-th row j column element in node admittance matrix；δijIt (t) is t moment node i, j phase angle difference,
N is node total number；
(b) major network supply load power constraint
Major network supply load is necessarily less than transformer rated capacity, and does not allow emergent power to send,
In formula, α is transformer maximum load rate.
2. energy storage constrains:
(a) ESS state-of-charge constrains
In view of the service life of energy storage, super-charge super-discharge is prevented, energy storage charge state is no more than bound,
SOCmin≤SOC(t)≤SOCmax (10)
In formula, SOCminFor energy storage charge state lower limit, SOCmaxFor the energy storage charge state upper limit,
(b) ESS charge-discharge electric power constrains
-PESS,N≤PESS(t)≤PESS,N (11)
In formula, PESS,NFor energy storage rated power；
3) energy storage economic dispatch control method designs
Specific control flow is as follows:
(a) typical daily load, EV, DG data, energy storage parameter are inputted, Load flow calculation obtains major network supply load Ps, calculates
Cost of losses Floss1 before energy storage accesses, energy storage is adjustable amount of electricity saving Ead=EESS(SOCmax-SOCmin), set peak clipping line Pf initial value
For PSmax, valley-fill line Pg initial value is set as PSmin, the number of iterations h=1 is set；
(b) when major network supply load power is greater than peak clipping line value (Ps (t) > Pf), energy storage is discharged, and energy storage discharge power is
Pdc (t)=(Ps (t)-Pf)/d calculates energy storage in a few days discharge capacity Edc=Σ Pdc (t) △ t；
(c) when major network supply load power is less than valley-fill line value (Ps (t) < Pg), energy storage is charged, and energy storage charge power is
Pc (t)=(Ps (t)-Pg) * c calculates energy storage in a few days charge volume Ec=Σ Pc (t) △ t；
(d) according to energy storage typical case in a few days discharge and recharge balance principle, judge whether discharge and recharge is equal, i.e., whether meet item
0 < Ec-Edc of part < ε, ε=0.1 export corresponding energy storage timing power output P if meeting conditionESS(h), otherwise valley-fill line moves up
(Pg=Pg+ △ P) goes to step (c) calculating, until meeting iterated conditional；
(e) output energy storage timing power output PESS(h), energy storage sale of electricity income Fsale is calculated according to formula (5), energy storage timing is gone out
Size distributes to each energy storage to power by measureLoad flow calculation is carried out, calculates energy storage according to formula (7)
Cost of losses F after accessLOSS2, formula (4) calculate energy storage purchases strategies Fbuy, the synthesis of corresponding energy storage power output is calculated according to formula (1)
Income Fh；
(f) judge whether energy storage charge volume is more than the adjustable amount of electricity saving of energy storage, i.e. Ec > Ead, if meeting condition, output is each
Iteration corresponds to storage energy operation income, and otherwise peak clipping line moves down Pf (h+1)=Pf (h+1)-△ P, the number of iterations h=h+1 and goes to step
Suddenly (b) is calculated, until meeting condition stops iteration；
(g) determine that peak clipping line Pf (i) is less than operation income corresponding to the specified active capacity PT (Pf (i) < PT) of transformer
Set omegai={ Fi, Fi+1 ..., Fm ..., Fh } determines maximum operation income Fm=max (Ωi), export optimized operation income Fm
Corresponding energy storage timing power output PESS(m)；
4) evaluation index is established
1. DG annual utilization hours hDG
Define DG annual utilization hours hDGFor DG actual power generation EDGWith the specified installed capacity P of DGDGNThe ratio between,
In formula,For jth day tjThe practical power generating value of moment DG,For jth day tjThe DG power generating value that moment discards；
2. equivalent year cost of investment Ceq-inv
Defining equivalent year cost of investment is equipment year cost of investment CinvIncome F is run with yearyDifference and duration of service
The ratio between y,
Fy=FLOSS, y+FT, y (15)
In formula, Cinv is equipment investment cost；Fy is the operation income that equipment is obtained in service life；FLOSS,yFor year net
Damage, FT,yFor arbitrage income, y is duration of service；
3. transformer equipment year utilization rate ηT
In order to reflect the utilization rate of equipment and installations of transformer, transformer equipment utilization rate η is definedTFor transformer year actual power amount
The ratio between with transformer equipment year theoretical maximum power supply volume,
In formula, PTIt (t) is transformer actual power performance number, EGTo invest to build transformer year actual power amount, ETBecome to invest to build
Depressor year maximum power supply volume, T 8760h；SNTo invest to build the specified apparent capacity of transformer, PNSpecified active capacity,For function
Rate factor.
The present invention is a kind of for delaying the energy storage economic load dispatching method of controller switching equipment upgrading, comprising: establishes energy storage
Economical operation mathematical model, establish network constraint and energy-storage system power Constraint, the design of energy storage economic dispatch control strategy,
Establish evaluation index and storage energy operation effect analysis.By the various load conditions in comprehensive analysis power distribution network, corresponded to this
Determine energy storage manner of execution and method.The present invention to the peak load shifting of power distribution network, delay controller switching equipment upgrading to have remarkable result,
Different load situation is coped with, targetedly takes energy storage manner of execution, while energy saving economy, can solve prevents transformer overload
It the failures such as send with power, guarantees the safe and stable operation of power distribution network and energy-storage system.It is reasonable with methodological science, applicability
By force, the advantages that effect is good.
Detailed description of the invention
Fig. 1 is a kind of for delaying the energy storage economic load dispatching method flow diagram of controller switching equipment upgrading；
Fig. 2 is one major network supply load variation diagram of mode；
Fig. 3 is one major network supply load day of mode performance diagram；
Fig. 4 is one different schemes energy storage power curve figure of mode；
Fig. 5 is one day operation income variation diagram of mode；
Fig. 6 is two major network supply load variation diagram of mode；
Fig. 7 is two major network supply load day of mode performance diagram；
Fig. 8 is two different schemes energy storage power curve figure of mode；
Fig. 9 is two day operation income change curve of mode.
Specific embodiment
Below with drawings and examples to of the invention a kind of for delaying the energy storage economy of controller switching equipment upgrading
Dispatching method is described further.
The present invention is a kind of for delaying the energy storage economic load dispatching method of controller switching equipment upgrading, including establishes energy storage warp
Ji operation mathematical model establishes network constraint and energy-storage system power Constraint, the design of energy storage economic dispatch control method, builds
Vertical evaluation index and storage energy operation effect analysis.It comprises the concrete steps that:
Step 1. establishes energy storage economical operation mathematical model.
The target of optimization is to realize that energy storage day operation benefit reaches on the basis of transformer nonoverload, energy storage safe operation
To optimal, objectives function are as follows:
MaxF=FLOSS+FA (1)
In formula, F is energy storage day operation benefit；FLOSSIt is accessed after power distribution network for energy storage and in a few days reduces cost of losses bring receipts
Benefit；FAFor the peak load shifting arbitrage income of energy storage in a few days.Each component calculation formula is as follows:
(1) arbitrage income FT
Define the difference for the purchases strategies that arbitrage income is sale of electricity income and charging payment that energy storage electric discharge obtains.
FT=Fsale-Fbuy (2)
In formula, FsaleElectric energy bring sale of electricity income is discharged during load peak for energy storage；The practical purchases strategies of energy storage
FbuyFor from the expense of higher level's power grid power purchase.Pess,l,c(t)、Pess,l,disIt (t) is charge and discharge power of first of energy storage in t moment
Size (charging is negative, and electric discharge is positive)；N is energy storage number.
(2) network loss income FLOSS
Defining network loss income is the difference that energy storage accesses cost of losses after preceding system losses expense and access.
FLOSS=FLOSS1-FLOSS2 (5)
In formula, M (t) is tou power price of the t moment from major network power purchase；Ploss,n(t)、Ploss-ESS,nIt (t) is respectively that energy storage connects
Enter front and back nth branch in the active line loss of t moment；NLFor power distribution network branch sum.
Step 2. establishes network constraint, energy-storage system power and Constraint.
(1) network constraint:
(a) power flow equation constrains
In formula, Pi(t)、Qi(t) the active and reactive power of node i is injected for t moment；Ui(t)、UjIt (t) is t moment section
Point i, j voltage magnitude；Gij、BijFor the real part and imaginary part of the i-th row j column element in node admittance matrix；δijIt (t) is t moment node
I, j phase angle difference, N are node total number.
(b) major network supply load power constraint
Major network supply load is necessarily less than transformer rated capacity, and does not allow emergent power to send.
In formula, α is transformer maximum load rate.
(2) energy storage constrains:
(a) ESS state-of-charge constrains
In view of the service life of energy storage, super-charge super-discharge is prevented, energy storage charge state is no more than bound.
SOCmin≤SOC(t)≤SOCmax (10)
In formula, SOCmin、SOCmaxRespectively energy storage charge state bound.
(b) ESS charge-discharge electric power constrains
-PESS,N≤PESS(t)≤PESS,N (11)
In formula, PESS,NFor energy storage rated power capacity.
The design of step 3. energy storage economic dispatch control method.
(a) typical daily load, EV, DG data, energy storage parameter etc. are inputted.Load flow calculation obtains major network supply load Ps, meter
Calculate cost of losses Floss1 before energy storage accesses, energy storage is adjustable amount of electricity saving Ead=EESS(SOCmax-SOCmin).At the beginning of setting peak clipping line Pf
Value is PSmax, valley-fill line Pg initial value is set as PSmin, the number of iterations h=1 is set.
(b) when major network supply load power is greater than peak clipping line value (Ps (t) > Pf), energy storage is discharged, and energy storage discharge power is
Pdc (t)=(Ps (t)-Pf)/d calculates energy storage in a few days discharge capacity Edc=Σ Pdc (t) △ t.
(c) when major network supply load power is less than valley-fill line value (Ps (t) < Pg), energy storage is charged, and energy storage charge power is
Pc (t)=(Ps (t)-Pg) * c calculates energy storage in a few days charge volume Ec=Σ Pc (t) △ t.
(d) according to energy storage typical case in a few days discharge and recharge balance principle, judge whether discharge and recharge is equal, i.e., whether meet item
0 < Ec-Edc of part < ε (ε=0.1) exports corresponding energy storage timing power output P if meeting conditionESS(h), otherwise valley-fill line moves up
(Pg=Pg+ △ P) goes to step 3 calculating, until meeting iterated conditional.
(e) output energy storage timing power output PESS(h), energy storage sale of electricity income Fsale is calculated according to formula 3-3, energy storage timing is gone out
Size distributes to each energy storage to power by measureLoad flow calculation is carried out, net is calculated according to formula 3-7
Damage expense Floss2, formula 3-4 calculate energy storage purchases strategies Fbuy, and the comprehensive income Fh of corresponding energy storage power output is calculated according to formula 3-1.
(f) judge whether energy storage charge volume is more than the adjustable amount of electricity saving of energy storage, i.e. Ec > Ead, if meeting condition, output is each
Iteration corresponds to storage energy operation income, and otherwise peak clipping line moves down (Pf (h+1)=Pf (h+1)-△ P), and the number of iterations h=h+1 is gone to
Step 2 calculates, until meeting condition stops iteration.
(g) determine that peak clipping line Pf (i) is less than operation income corresponding to the specified active capacity PT (Pf (i) < PT) of transformer
Set omegai={ Fi, Fi+1 ..., Fm ..., Fh } determines maximum operation income Fm=max (Ωi), export optimized operation income Fm
Corresponding energy storage timing power output PESS(m)。
Step 4. establishes evaluation index.
(1) DG annual utilization hours hDG
Define DG annual utilization hours hDGFor DG actual power generation EDGWith the specified installed capacity P of DGDGNThe ratio between.
In formula,For jth day tjThe practical power output of moment DG and the DG power output size discarded.
(2) equivalent year cost of investment Ceq-inv
Defining equivalent year cost of investment is equipment year cost of investment CinvIncome F is run with yearyDifference and duration of service
The ratio between y.
Fy=FLOSS, y+FT, y (15)
In formula, Cinv is equipment investment cost；Fy is the operation income that equipment is obtained in service life；FLOSS,yWith FT,yPoint
Not Wei year network loss, arbitrage income；Y is duration of service.
(3) transformer equipment year utilization rate ηT
In order to reflect the utilization rate of equipment and installations of transformer, transformer equipment utilization rate η is definedTFor transformer year actual power amount
The ratio between with transformer equipment year theoretical maximum power supply volume.
In formula, PTIt (t) is transformer actual power watt level；EGTo invest to build transformer year actual power amount；ETTo invest to build
Transformer year maximum power supply volume；T is 8760h；SN、PN、It respectively invests to build the specified apparent capacity of transformer, specified have power capacity
Amount, power factor.
Step 5. storage energy operation effect analysis.
This example chooses IEEE33 node example system, gives example condition:
1. the system reference capacity is SB=10MVA, voltage class 10.5kV, transformer rated capacity are 3500kVA,
Rated power PT=2976kW.
2. wind-powered electricity generation, photovoltaic, electric car, energy storage access node and installed capacity are as shown in table 1, table 1 is each device distribution
And energy storage parameter list.
Each device distribution of table 1 and energy storage parameter
3. node 1 be balance nodes, be connected with higher level's power grid, under maximum operational mode the total burden with power of system be
3715kW, table 2 are each node load under maximum operational mode.
Each node load under 2 maximum operational mode of table
For two kinds of typical mode of operation of power distribution network energy storage, two schemes are used under the premise of identical stored energy capacitance respectively
Compare economy.
(1) scheme 1: invariable power method.Power economy dispatching requirement is not considered, only according to major network supply load curve, In
Its peak interval of time energy storage carries out charge and discharge with invariable power.
(2) scheme 2: economic load dispatching method.Using control method proposed by the invention, consider that power economy scheduling needs
It asks, meter and storage energy operation economy, energy storage is with optimal power charge and discharge.
In the variation of the major network supply load of mode one shown in Fig. 2, when typical day DG is in full state, DG power output is larger,
Reduce the power supply of higher level's power grid.But it due to the space and time difference characteristic of DG and load, is fallen in certain period power distribution network emergent powers
Phenomenon is sent, considers the safe operation of system, needs to cut down DG power output size, or this part electricity discarded using energy storage storage
Energy.DG power output is larger in typical day under the mode, and power distribution network send phenomenon in 5:30-9:00,11:45-16:45 or so appearance,
And occur of short duration overload situations in 21:00 or so transformer, and if taking the mode of transformer dilatation, the idle capacity of transformer
As shown in dash area in Fig. 3 major network supply load day characteristic curve, the transformer newly invested to build does not have substantially in typical case's day
It is utilized, while DG power output must be cut down and sent with reducing it to the power of major network, cause the reduction of DG utilization rate.If utilizing storage
Can be to major network supply load peak load shifting, energy storage typical case daily output is as shown in figure 4, according to the economic load dispatching method income of scheme 2
As shown in the variation of Fig. 5 day operation income, with moving down for peak clipping line, storage energy operation income is continuously increased, until typical day energy storage
Income Maximum when discharge and recharge reaches the upper limit.The reason is that one side energy storage stores electric energy during power is sent, purchases strategies are
0, it reduces to send thereby reducing network loss to major network power, on the other hand, the obtainable arbitrage of electricity is discharged in load peak and is received
Benefit can be more and more with network loss income.
In the variation of the major network supply load of mode two shown in Fig. 6, when typical day DG contributes smaller, transformer overload, energy storage exists
Electric energy is stored when load valley, electric energy is discharged in load peak reduces transformer load rate, plays and controller switching equipment is delayed to upgrade
The effect of transformation.If the amount of falling power transmission is larger compared to overload electricity, part DG is discarded.Conversely, when giving not enough power supply, it is poor
Volume electricity is obtained from major network power purchase, and pays certain power purchase expense.DG power output is smaller in typical day under the mode, and transformer exists
19:30-21:30 or so is in overload, if taking the mode of transformer dilatation, as Fig. 7 major network supply load day characteristic is bent
Dash area is transformer dilatation part in line, although transformer equipment utilization rate is promoted, the transformer after dilatation is still
There are a large amount of capacity to be in idle state.If energy storage typical case daily output such as Fig. 8 is not using energy storage to major network supply load peak load shifting
With shown in scheme energy storage power curve, according to the economic load dispatching method income of scheme 2 as shown in the variation of Fig. 9 day operation income, always
Income is presented fluctuation-type and rises, and there are maximum values in restriction range.
To prove that this dispatching method has good economy, transformer dilatation and different energy storage scheduling schemes are compared respectively
Economy, it is specific as shown with energy storage is installed compared with such as 3 transformer dilatation of table.
3 transformer dilatation of table is compared with installing energy storage
Based on the above situation, distributed energy storage system is accessed to the distribution network system using the method for the invention and configured
Control method.Using energy storage to major network supply load peak load shifting, discharges in load peak and reached with reducing transformer load rate
To the purpose for delaying controller switching equipment upgrading, in load valley, charging absorbs the electric energy sent as far as possible, reduces to master
The power of net is sent, and the confession of the energy is made to give consumption in-situ balancing.The economy of energy-storage system scheduling is effectively increased, table 1 is
The economic comparison of different energy storage scheduling schemes, the results showed that this economic load dispatching method considers energy storage economic load dispatching demand, with
Arbitrage and network loss comprehensive income are up to target, greatly improve storage energy operation income.It is possible thereby to prove the control in the present invention
Method processed is authentic and valid, and certain can be by configuring the realization of distributed energy storage system control method to the peak load shifting of power distribution network
To reduce power distribution network peak-valley difference, controller switching equipment upgrading demand is solved.
Design conditions, legend, table in the embodiment of the present invention etc. are only used for that the present invention is further illustrated, not thoroughly
It lifts, does not constitute the restriction to claims, the enlightenment that those skilled in the art obtain according to embodiments of the present invention,
It would occur to other substantially equivalent substitutions without creative work, all fall in the scope of protection of the present invention.
Claims (1)
1. a kind of for delaying the energy storage economic load dispatching method of controller switching equipment upgrading, characterized in that it includes establishing energy storage
Economical operation mathematical model comprehensively considers and establishes network structure, energy-storage system power and electricity and establish constraint condition, designs energy storage
Economic dispatch control strategy, and establishing techniques and economic indicator, assess scheduling strategy.Specific step has:
1) energy storage economical operation mathematical model is established
The target of optimization is to realize that energy storage day operation benefit reaches most on the basis of transformer nonoverload, energy storage safe operation
It is excellent, objectives function are as follows:
Max F=FLOSS+FA (1)
In formula, F is energy storage day operation benefit；FLOSSCost of losses bring income is in a few days reduced after accessing power distribution network for energy storage；FA
For the peak load shifting arbitrage income of energy storage in a few days, each component calculation formula are as follows:
1. arbitrage income FT
Define the difference for the purchases strategies that arbitrage income is sale of electricity income and charging payment that energy storage electric discharge obtains
FT=Fsale-Fbuy (2)
In formula, FsaleElectric energy bring sale of electricity income is discharged during load peak for energy storage；The practical purchases strategies F of energy storagebuyFor
From the expense of higher level's power grid power purchase, Pess,l,cIt (t) is charge power value of first of energy storage in t moment, Pess,l,disIt (t) is l
In the discharge power value of t moment, charging is negative for a energy storage, and electric discharge is positive；N is energy storage total quantity；
2. network loss income FLOSS
Defining network loss income is system losses expense F before energy storage accessesLOSS1With cost of losses F after accessLOSS2Difference
FLOSS=FLOSS1-FLOSS2 (5)
In formula, M (t) is tou power price of the t moment from major network power purchase；Ploss,n(t) nth branch is in t moment before energy storage accesses
Active line loss, Ploss-ESS,n(t) active line loss of the nth branch in t moment after being accessed for energy storage；NLFor power distribution network branch sum；
2) network constraint, energy-storage system power and Constraint are established
1. network constraint:
(a) power flow equation constrains
In formula, Pi(t) active power of node i, Q are injected for t momenti(t) reactive power of node i is injected for t moment；Ui(t)
For t moment node i voltage magnitude, UjIt (t) is t moment node j voltage magnitude；GijFor the i-th row j column element in node admittance matrix
Real part, BijFor the imaginary part of the i-th row j column element in node admittance matrix；δijIt (t) is t moment node i, j phase angle difference, N is section
Point sum；
(b) major network supply load power constraint
Major network supply load is necessarily less than transformer rated capacity, and does not allow emergent power to send,
In formula, α is transformer maximum load rate.
2. energy storage constrains:
(a) ESS state-of-charge constrains
In view of the service life of energy storage, super-charge super-discharge is prevented, energy storage charge state is no more than bound,
SOCmin≤SOC(t)≤SOCmax (10)
In formula, SOCminFor energy storage charge state lower limit, SOCmaxFor the energy storage charge state upper limit,
(b) ESS charge-discharge electric power constrains
-PESS,N≤PESS(t)≤PESS,N (11)
In formula, PESS,NFor energy storage rated power；
3) energy storage economic dispatch control method designs
Specific control flow is as follows:
(a) typical daily load, EV, DG data, energy storage parameter are inputted, Load flow calculation obtains major network supply load Ps, calculates energy storage
Cost of losses Floss1 before accessing, energy storage is adjustable amount of electricity saving Ead=EESS(SOCmax-SOCmin), set peak clipping line Pf initial value as
PSmax, valley-fill line Pg initial value is set as PSmin, the number of iterations h=1 is set；
(b) when major network supply load power is greater than peak clipping line value (Ps (t) > Pf), energy storage electric discharge, energy storage discharge power is Pdc
(t)=(Ps (t)-Pf)/d calculates energy storage in a few days discharge capacity Edc=Σ Pdc (t) △ t；
(c) when major network supply load power is less than valley-fill line value (Ps (t) < Pg), energy storage charging, energy storage charge power is Pc
(t)=(Ps (t)-Pg) * c calculates energy storage in a few days charge volume Ec=Σ Pc (t) △ t；
(d) according to energy storage typical case in a few days discharge and recharge balance principle, judge whether discharge and recharge equal, i.e., whether meet condition 0 <
Ec-Edc < ε, ε=0.1 export corresponding energy storage timing power output P if meeting conditionESS(h), otherwise valley-fill line moves up (Pg=
Pg+ △ P), step (c) calculating is gone to, until meeting iterated conditional；
(e) output energy storage timing power output PESS(h), energy storage sale of electricity income Fsale is calculated according to formula (5), energy storage timing power output is pressed
Amount of capacity distributes to each energy storageLoad flow calculation is carried out, calculates energy storage access according to formula (7)
Cost of losses F afterwardsLOSS2, formula (4) calculate energy storage purchases strategies Fbuy, the comprehensive income of corresponding energy storage power output is calculated according to formula (1)
Fh；
(f) judge whether energy storage charge volume is more than the adjustable amount of electricity saving of energy storage, i.e. Ec > Ead exports each iteration if meeting condition
Corresponding storage energy operation income, otherwise peak clipping line moves down Pf (h+1)=Pf (h+1)-△ P, the number of iterations h=h+1 and goes to step
(b) it calculates, until meeting condition stops iteration；
(g) determine that peak clipping line Pf (i) is less than operation income set corresponding to the specified active capacity PT (Pf (i) < PT) of transformer
Ωi={ Fi, Fi+1 ..., Fm ..., Fh } determines maximum operation income Fm=max (Ωi), output optimized operation income Fm is corresponding
Energy storage timing contribute PESS(m)；
4) evaluation index is established
1. DG annual utilization hours hDG
Define DG annual utilization hours hDGFor DG actual power generation EDGWith the specified installed capacity P of DGDGNThe ratio between,
In formula,For jth day tjThe practical power generating value of moment DG,For jth day tjThe DG power generating value that moment discards；
2. equivalent year cost of investment Ceq-inv
Defining equivalent year cost of investment is equipment year cost of investment CinvIncome F is run with yearyDifference and duration of service y it
Than,
Fy=FLOSS, y+FT, y (15)
In formula, Cinv is equipment investment cost；Fy is the operation income that equipment is obtained in service life；FLOSS,yFor year network loss,
FT,yFor arbitrage income, y is duration of service；
3. transformer equipment year utilization rate ηT
In order to reflect the utilization rate of equipment and installations of transformer, transformer equipment utilization rate η is definedTFor transformer year actual power amount and become
Depressor equipment year the ratio between theoretical maximum power supply volume,
In formula, PTIt (t) is transformer actual power performance number, EGTo invest to build transformer year actual power amount, ETTo invest to build transformer
Year maximum power supply volume, T 8760h；SNTo invest to build the specified apparent capacity of transformer, PNSpecified active capacity,For power because
Number.
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